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Spring and Baby Poultry are Here | CDC Features |
Peep, chirp, quack! Live baby poultry, such as chicks, ducklings, goslings, and baby turkeys, can carry harmful germs called Salmonella. After you touch a chick, duckling, or other baby bird, or anything in the area where they live and roam, WASH YOUR HANDS so you don't get sick! |
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Centers for Disease Control and Prevention |
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National HIV Testing Day | CDC Features |
June 27 is National HIV Testing Day, a day to get the facts, get tested, and get involved! |
| pre-exposure prophylaxis | 0.38502 |
| CDC | 0.357027 |
| routine care | 0.377882 |
| health care provider | 0.571608 |
| lifesaving information | 0.376991 |
| right way | 0.378843 |
| body | 0.314081 |
| Today. | 0.3162 |
| Young people | 0.382862 |
| test your way | 0.449848 |
| HIV status | 0.643332 |
| prevention information | 0.371915 |
| Facebook | 0.315711 |
| Tool | 0.313591 |
| needs | 0.313554 |
| HIV Risk Reduction | 0.628843 |
| download posters | 0.373773 |
| friends | 0.313774 |
| HIV medicines | 0.579023 |
| HIV medicine | 0.584233 |
| chances | 0.315923 |
| frequent testing | 0.385347 |
| treatment | 0.315184 |
| testing event | 0.389131 |
| United States | 0.386476 |
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| community leaders | 0.373605 |
| Twitter | 0.314972 |
| share videos | 0.373813 |
| prevention campaign | 0.370841 |
| national hiv testing | 0.78449 |
| HIV tests | 0.572594 |
| example | 0.330021 |
| ways | 0.316145 |
| theme | 0.316457 |
| drugstores | 0.318474 |
| routine health care | 0.451565 |
| local organization—get | 0.386085 |
| reminder | 0.316987 |
| testing site | 0.380045 |
| PrEP | 0.330747 |
| bisexual men | 0.381667 |
| Facts | 0.314914 |
| BETA | 0.313581 |
| HIV | 0.968457 |
| powerful information | 0.371205 |
| ages | 0.31488 |
| clinic | 0.31525 |
| family | 0.313781 |
| HIV infection | 0.595571 |
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Centers for Disease Control and Prevention |
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Childhood obesity: issues of weight bias. |
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| obese employees | 0.432944 |
| height discrimination | 0.366647 |
| obese students | 0.44831 |
| preventive health screenings | 0.36415 |
| social consequences | 0.379325 |
| weight discrimination | 0.397641 |
| obesity prevention | 0.375164 |
| health care providers | 0.543257 |
| obesity | 0.558235 |
| family members | 0.36793 |
| obese people | 0.524279 |
| nonobese peers | 0.365909 |
| multiple ways | 0.378147 |
| body mass index | 0.416827 |
| obese elementary school | 0.459183 |
| potential negative role | 0.364287 |
| gradual weight loss | 0.389833 |
| overweight students | 0.396494 |
| Asian American adolescents | 0.36491 |
| physical health | 0.380421 |
| negative stereotypes | 0.40152 |
| obese women | 0.432787 |
| weight bias | 0.926797 |
| substantially overweight females | 0.404981 |
| weight gain | 0.38979 |
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| obese children | 0.760135 |
| obese youth | 0.439783 |
| overweight males report | 0.403256 |
| Obese adolescent females | 0.462404 |
| negative body image | 0.375664 |
| inferior body image | 0.364269 |
| obesity worsens | 0.384011 |
| overweight characters | 0.374432 |
| low self-esteem | 0.369969 |
| comparable academic performance | 0.363996 |
| school health care | 0.371864 |
| overweight females | 0.425357 |
| substantially overweight males | 0.397776 |
| obese men | 0.432767 |
| overweight patients | 0.394247 |
| obese applicants | 0.48889 |
| obesity epidemic | 0.474983 |
| obese adults | 0.45226 |
| inadequate self-discipline | 0.375844 |
| weight-biased teasing | 0.445965 |
| different racial/ethnic groups | 0.365494 |
| overweight males | 0.403541 |
| excessive weight | 0.39695 |
| childhood obesity | 0.422122 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0256 |
The objective of this study was to examine population characteristics relevant to the design and implementation of a state-sponsored colorectal cancer screening program that is responsive to medically underserved populations. |
| colorectal cancer screening | 0.486242 |
| population-based screening | 0.422121 |
| adequate screening | 0.254375 |
| health insurance | 0.271477 |
| health care provider | 0.514246 |
| screening advice variables | 0.310191 |
| primary care providers | 0.23912 |
| regular screening | 0.289082 |
| colorectal screening programs | 0.336576 |
| endoscopic screening | 0.271299 |
| evidence-based screening methods | 0.290363 |
| overestimate screening rates | 0.28127 |
| current screening | 0.274761 |
| state-sponsored colorectal screening | 0.346326 |
| state-sponsored colorectal cancer | 0.284727 |
| colorectal cancer | 0.777419 |
| health care characteristics | 0.320659 |
| colorectal screening | 0.623664 |
| health care variables | 0.284635 |
| Arkansas Colorectal Cancer | 0.300447 |
| medically underserved populations | 0.372444 |
| screening recommendations | 0.259803 |
| screening status | 0.274995 |
| Introduction
Colorectal cancer | 0.244196 |
| colorectal cancer death | 0.33189 |
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| population-based screening efforts | 0.307101 |
| multiple screening methods | 0.27253 |
| Arkansas pilot screening | 0.289025 |
| Colorectal Cancer Prevention | 0.294059 |
| colorectal screening history | 0.383869 |
| screening program | 0.441794 |
| colorectal screening rates | 0.370991 |
| minimal-cost screening | 0.25238 |
| health care | 0.901965 |
| state-sponsored screening program | 0.346918 |
| participants | 0.283225 |
| Lower screening rates | 0.284718 |
| population-based screening program | 0.28429 |
| public health regions | 0.37154 |
| physician advice | 0.321323 |
| annual household income | 0.278227 |
| health care decisions | 0.288809 |
| health care visits | 0.475627 |
| colon cancer screening | 0.290149 |
| population-based screening programs | 0.346237 |
| screening methods | 0.319962 |
| screening rates | 0.375202 |
| low screening rates | 0.300976 |
| higher screening rates | 0.348621 |
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Centers for Disease Control and Prevention |
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Tattoo-Associated Nontuberculous Mycobacterial Skin Infections - Multiple States, 2011-2012 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| brand B ink | 0.393581 |
| sterile ink products | 0.428948 |
| NTM skin infections | 0.785263 |
| chelonae skin infections | 0.390099 |
| ink samples | 0.389946 |
| sterile water | 0.378269 |
| ink manufacturing sites | 0.438763 |
| Colorado tattoo parlor | 0.377057 |
| black ink | 0.526954 |
| tattoo parlor | 0.380314 |
| additional tattoo-associated NTM | 0.491131 |
| Michael H. Kinzer | 0.381319 |
| NTM species | 0.393268 |
| NTM contamination | 0.524246 |
| Public health investigations | 0.365469 |
| infected tattoo lesions | 0.365478 |
| Duc B. Nguyen | 0.375019 |
| black drawing ink | 0.43548 |
| possible case | 0.372471 |
| tattoo ink dilution | 0.521526 |
| New York cluster | 0.414784 |
| Epi-X public health | 0.364806 |
| company A. CDC | 0.368024 |
| unopened bottle | 0.374739 |
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| prediluted gray ink | 0.460975 |
| Washington cluster | 0.537542 |
| tattoo artist | 0.417188 |
| NTM infections | 0.50848 |
| FDA regulatory requirement | 0.400412 |
| ink ingredients | 0.386589 |
| company | 0.43393 |
| public health | 0.992814 |
| tattoo-associated NTM skin | 0.767407 |
| New York | 0.713521 |
| cases | 0.394694 |
| company B. Water | 0.369133 |
| ink dilution | 0.523534 |
| environmental samples | 0.48631 |
| ink manufacturers | 0.44238 |
| tattoo-related NTM infections | 0.498526 |
| M. chelonae | 0.705047 |
| unopened ink bottles | 0.537079 |
| tattoo inks | 0.692182 |
| Tattoo-associated NTM infections | 0.47746 |
| appropriate hygienic practices | 0.376444 |
| gray ink | 0.88524 |
| nonsterile water | 0.660662 |
| tattoo artists | 0.446201 |
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en |
In Memoriam: Stephen B. Thacker, MD, MSc - 1947-2013 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| Distinguished Service Medal | 0.346707 |
| mmwrq@cdc.gov. | 0.237787 |
| Mortality Weekly Report | 0.328879 |
| senior-level review | 0.218814 |
| book chapters | 0.220162 |
| Human Services | 0.295825 |
| assistive technology | 0.237134 |
| u.s. public health | 0.754694 |
| Surveillance Summary component | 0.339962 |
| MMWR HTML versions | 0.334063 |
| U.S. Department | 0.296133 |
| Duke University | 0.216967 |
| electronic PDF version | 0.300059 |
| public service | 0.272966 |
| Tropical Medicine | 0.227286 |
| Sinai School | 0.223196 |
| London School | 0.222209 |
| Epidemic Intelligence Service | 0.336633 |
| Contact GPO | 0.231813 |
| MMWR series | 0.307999 |
| public health practice | 0.669551 |
| original paper copy | 0.3041 |
| MMWR editors | 0.241311 |
| substantive contributions | 0.2157 |
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| Stephen B. Thacker | 0.446491 |
| United States | 0.217771 |
| original MMWR paper | 0.330609 |
| U.S. Government Printing | 0.323254 |
| recent Director | 0.232123 |
| MSc degree | 0.227927 |
| Assistant Surgeon General | 0.33317 |
| General Preventive Medicine | 0.336215 |
| MMWR readers | 0.244092 |
| Princeton University | 0.217994 |
| early leadership role | 0.318017 |
| Laboratory Services | 0.231881 |
| CDC history | 0.288173 |
| public health | 0.918035 |
| health care | 0.262202 |
| subject line | 0.23587 |
| health department | 0.264654 |
| Dr. Thacker | 0.8488 |
| Family Medicine | 0.312949 |
| Surgeon General | 0.343584 |
| key CDC positions | 0.407131 |
| Public Health Service | 0.583104 |
| Deputy Director | 0.23038 |
| surveillance office | 0.247581 |
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Email Updates: February 13, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Lyme disease | 0.722775 |
| CDC | 0.916217 |
| CDC guidance | 0.692769 |
| Cardiovascular disease | 0.588493 |
| vector-borne disease | 0.599273 |
| response planning process | 0.640597 |
| Minnesota Flood Responses | 0.627596 |
| health care providers | 0.655837 |
| Preparedness Summit Pre-Session | 0.660498 |
| Weekly Flu View | 0.632897 |
| National Vaccine Plan | 0.615705 |
| risk communication principles | 0.636124 |
| New Emergency Communications | 0.643372 |
| Influenza Antiviral Medications | 0.626972 |
| Listeria monocytogenes | 0.621037 |
| abnormally low body | 0.622714 |
| Emergency Risk Communication | 0.649134 |
| 122-Cities Mortality Reporting | 0.613916 |
| emergency preparedness | 0.728717 |
| best partnership-communications practices | 0.626415 |
| inhibitor antiviral drugs | 0.618001 |
| weather-related health problems | 0.640417 |
| extremely cold weather | 0.626988 |
| CDC iPad App | 0.782349 |
| Preparedness Summit Pre | 0.655203 |
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| extreme cold-weather conditions | 0.61482 |
| heart health | 0.60569 |
| Winter Weather | 0.676725 |
| behavioral health issues | 0.646576 |
| New Media Outreach | 0.6285 |
| COCA Email Update | 0.646949 |
| countless American families | 0.630725 |
| heart disease | 0.705812 |
| American Heart | 0.684069 |
| Specific Hazards preparedness | 0.648428 |
| chronic medical condition | 0.636439 |
| Health Partners Outreach | 0.649936 |
| CDC Scienceclips | 0.715326 |
| in-person training centers | 0.619302 |
| CDC Recommendations | 0.692937 |
| Eastern Time | 0.726583 |
| Public Health Preparedness | 0.868288 |
| FoodSafety.gov Reports FDA | 0.621556 |
| Health Preparedness Summit | 0.864412 |
| functional needs | 0.703099 |
| CDC Vital Signs | 0.767759 |
| USDA Food Recalls | 0.613412 |
| Behavioral Health Response | 0.659447 |
| Response Training Resources | 0.63503 |
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U.S. invasive cancer rates slightly down from 2009 to 2010 | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC’s National | 0.470938 |
| Asian/Pacific Islander women | 0.520546 |
| invasive cancers | 0.577238 |
| preventive cancer services | 0.571379 |
| cancer risk factors | 0.565592 |
| female breast | 0.530031 |
| certain cancer screenings | 0.563379 |
| lung cancer | 0.573502 |
| cancer preventive services | 0.5674 |
| new cancer cases | 0.730064 |
| Disease Control | 0.473585 |
| ethnic groups | 0.508573 |
| rectum cancers | 0.54449 |
| colorectal cancer | 0.679686 |
| normal tissue | 0.467781 |
| Affordable Care Act | 0.622413 |
| lower cancer rates | 0.574818 |
| cancer sites | 0.544489 |
| Cancer Registries | 0.507243 |
| human papillomavirus | 0.469503 |
| cancers | 0.642739 |
| colorectal cancers | 0.549694 |
| new cases | 0.473866 |
| cervical cancer incidence | 0.548739 |
| U.S. colorectal cancer | 0.57735 |
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| preventable cancers | 0.528883 |
| cancer prevention | 0.543296 |
| HPV vaccination | 0.509387 |
| United States | 0.477883 |
| uterine cancers | 0.515203 |
| David Espey | 0.466985 |
| good news | 0.467151 |
| common cancer | 0.552464 |
| National Cancer Institute | 0.561089 |
| Hispanic men | 0.47642 |
| colorectal cancer incidence | 0.581495 |
| cost-sharing expenses | 0.470642 |
| breast cancer | 0.498817 |
| health care coverage | 0.505964 |
| highest rates | 0.534472 |
| cancer killer | 0.496277 |
| common cancers | 0.565827 |
| U.S. men | 0.48005 |
| invasive cancer cases | 0.595893 |
| cancer | 0.911419 |
| deadly cancers | 0.508424 |
| screening rates | 0.467611 |
| important preventive services | 0.508694 |
| tobacco cessation services | 0.506561 |
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Measles in the United States, 2015 - Transcript for CDC Telebriefing - Thursday, January 29, 2014 | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Disneyland | 0.383582 |
| MMR vaccination | 0.382621 |
| measles elimination | 0.444827 |
| operator | 0.379606 |
| California outbreak | 0.369468 |
| Dr. Anne Schuchat | 0.364326 |
| number | 0.465289 |
| U.S. measles outbreak | 0.512781 |
| fully vaccinated people | 0.396323 |
| pregnant women | 0.385614 |
| measles exposures | 0.443362 |
| children | 0.436283 |
| best protection | 0.369481 |
| measles parents | 0.442872 |
| typical outbreak | 0.37123 |
| recent measles case | 0.449722 |
| vulnerable people | 0.368469 |
| extremely large outbreak | 0.381229 |
| mike stobbe | 0.368729 |
| rosanna xia | 0.363967 |
| little bit | 0.389453 |
| recent measles outbreak | 0.479952 |
| anne schuchat | 0.844889 |
| reported measles cases | 0.466459 |
| dan childs | 0.365346 |
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| united states | 0.415592 |
| states | 0.436293 |
| measles cases | 0.527458 |
| Disneyland related outbreak | 0.371938 |
| measles vaccine | 0.571095 |
| erik german | 0.37834 |
| decade. Measles | 0.445474 |
| hospital. Measles | 0.445037 |
| local health departments | 0.431774 |
| travel history | 0.436191 |
| cases | 0.561535 |
| question | 0.489279 |
| Disneyland outbreak | 0.371173 |
| unvaccinated people | 0.407405 |
| Disneyland theme | 0.368256 |
| people | 0.72348 |
| national measles situation | 0.464163 |
| used. Measles | 0.446212 |
| super bowl | 0.401901 |
| time MMR vaccination | 0.368565 |
| year. Measles | 0.427701 |
| Measles spreads | 0.444142 |
| measles | 0.952827 |
| large multistate outbreak | 0.420642 |
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Centers for Disease Control and Prevention |
Video |
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Q-Bank and Q-Notes Demo |
Demo of Q-Bank and Q-Notes applications from the National Center for Health Statistics, Questionnaire Design Research Laboratory. Q-Bank is a database consisting of evaluated questions from Federal surveys and links each question to the scientific report that evaluated the survey question. Q-Notes is a software program that supports the structured collection and analysis of cognitive interview data.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/nchs/videos/qbank-qnotes.mov |
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